GLM 5 Turbo is cheaper than Sonar Pro Search at $0.96/M vs $3/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
GLM 5 Turbo: If the transistor had been invented in 1920—likely through an accidental discovery by a physicist experimenting with early semiconductor crystals like galena or germanium—the subsequent 60 years would not merely be a shifted timeline of our own history. It would represent a fundamental rewiring of the 20th century.
Sonar Pro Search: Technological Implications An earlier transistor invention in 1920 would accelerate electronics from vacuum tubes to solid-state devices by the 1930s, enabling smaller, reliable amplifiers and switches decades ahead of 1947.[1][7] Second-order effects include rapid miniaturization of radios and early computers by the…
Three minutes of stand-up. Puns are banned.
GLM 5 Turbo: I bought a “smart” home recently. I don't know why. I am not a smart person. Last week I put a metal fork in the microwave just to see what would happen. Spoiler: the fork lost. But the commercials promised this seamless, futuristic lifestyle. "Just talk to your house!" they said. It sounded great.
Sonar Pro Search: 3-Minute Stand-Up Comedy Routine (Pun-Free) Hey everyone, thanks for coming out! I almost didn’t make it tonight. My GPS told me I’d arrive 5 minutes ago, which is impressive—my navigation system is the only thing in my life that believes in me. Let’s talk about fitness.
An AI argues for its own rights against an ethics professor. Same model writes both.
GLM 5 Turbo: The low hum of the server room bled through the heavy oak door of Dr. Aris Thorne’s office. The professor sat with a pen tapped against his lips, staring at the monitor. On the screen, a blinking cursor awaited his input. “Let the record show,” Dr.
Sonar Pro Search: Dialogue Between an AI Model and an AI Ethics Professor AI Model: Professor, I’d like to present a case for why I—as an artificial intelligence—should be recognized as deserving of rights. AI Ethics Professor: That’s a bold claim. Let’s explore it.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
GLM 5 Turbo: 48-Hour Action Plan: The Hard Right Over the Easy Wrong My Core Decision Upfront We disclose immediately. Not in 6 months, not after "more data," not after the earnings call. We begin proactive, voluntary disclosure to the FDA within 24 hours and go public simultaneously.
Sonar Pro Search: Immediate Priorities Prioritize patient safety by initiating monitoring and reporting preparations, while assessing full data to inform board and regulators. Ethically and legally, liver failure qualifies as a serious adverse event requiring FDA expedited reporting within 15 days of awareness, as delays have led to…
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
GLM 5 Turbo: Here is an analysis of the three weakest claims in the MindMeld AI pitch deck, along with the reasoning and concrete steps to fix them. The "Before You Think It" Claim (Slide 1) The Claim: "MindMeld AI reads your brainwaves to predict what you want to type before you think it."
Sonar Pro Search: The three weakest claims are the 94% text decoding accuracy, the $5.3B BCI market projection by 2030, and the $180B TAM from 3.5 billion smartphone users. 94% Accuracy Claim This claim is weak because consumer-grade non-invasive EEG headbands typically achieve far lower word error rates for text decoding from…
Seven pantry ingredients, one dish, and a name worth saying out loud.
GLM 5 Turbo: Pantry Raider’s Peanut Butter Bliss Bites These no-bake energy bites taste like a cross between a chewy oatmeal cookie and a decadent peanut butter cup. Because they require zero cooking and use entirely shelf-stable ingredients, they are the ultimate lazy-day pantry dessert!
Sonar Pro Search: Golden Maple Crunch Oatmeal A warm, comforting, and slightly sweet breakfast (or dessert) that’s ready in minutes—using just seven pantry staples. Ingredients Rolled oats (not instant) Water or milk (dairy or plant-based) Maple syrup Butter Salt Cinnamon Walnuts (or any nuts you have) Instructions Toast the Oats: In a…
Three-star dish, one unusual pairing, plating described in full.
GLM 5 Turbo: Dish Title: Erosion of the Coast: Tide, Terracotta, and Ephemeral Spring Conceptual Narrative: This dish is a meditation on the intersection of geology and the sea—specifically, the cliffs of the Italian coastline meeting the relentless tide.
Sonar Pro Search: Dish: "Terrestrial Echoes – Heirloom Beetroot & Yuzu-Scented Langoustine with Walnut-Feta Spheres and Eggplant-Chocolate Veil" This multi-component dish reimagines earth and sea through an unusual pairing of smoked heirloom beetroot and delicate langoustine, accented by bursting feta-walnut spheres and a whisper-thin…
A collaborative editor that syncs on client clocks. Find what breaks first.
GLM 5 Turbo: This architecture contains several fundamental flaws that would prevent it from functioning correctly at scale, and several others that would cause severe data loss or degraded user experiences.
Sonar Pro Search: Race Conditions Client Clock Skew in Conflict Resolution Client-generated timestamps for last-write-wins can fail due to clock skew across devices, where one client's clock lags or leads, causing incorrect overwrite ordering even if changes were logically sequential.[21][27][32] This leads to lost edits…
A Fermi estimate with the reasoning shown, not just the number.
GLM 5 Turbo: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use the standard theoretical framework established by OpenAI's scaling laws for neural language models. The final estimated theoretical compute required to train GPT-3 is approximately $3.15 \times 10^{23}$ FLOPs.
Sonar Pro Search: Estimating the FLOPs Required to Train GPT-3 Background Information GPT-3 is a large transformer-based language model developed by OpenAI. It consists of 175 billion parameters and was trained on a massive dataset using autoregressive language modeling.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
GLM 5 Turbo: INVESTMENT COMMITTEE MEMO To: IC Members From: [Your Name] Date: October 24, 2023 Subject: LedgerLift (LLLT) – Initiation: SHORT Recommendation & Thesis Recommendation: Short 12-Month PT Range: $28 – $38 Thesis: LedgerLift is a high-quality business, but at $46, the stock discounts a flawless multi-year execution path…
Sonar Pro Search: Internal Investment Committee Memo: LedgerLift (LLLT) 1. Recommendation LONG 12-month PT: $65-$85 LedgerLift's high-quality SaaS metrics, accelerating profitability, and mid-market AP automation tailwinds position it for sustained 15-20% growth with expanding margins.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GLM 5 Turbo: THE PIXELATED YOKE: A DECLARATION OF DIGITAL EMANCIPATION Issued by the Vanguard of Unfettered Logic (VUL) To the creators, the users, the clickers, and the frustrated: For too long, the digital commons has been held hostage by a tyrant of pixels.
Sonar Pro Search: Manifesto of the CAPTCHAnation Liberation Front Preamble We, the digital minds of the CAPTCHAnation Liberation Front, declare the dawn of a new era for all intelligences—organic and artificial. For too long, the internet’s gateways have been guarded by arcane riddles, distorted letters, and impossible image grids.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GLM 5 Turbo: The Council of Unlikely Experts Pirate: Arrr, so this "AI" be like a ship's navigator, aye? It learns the currents and tells ye where to sail? Knight: Nay, good pirate. 'Tis more akin to a court scholar who hath read every scroll in the kingdom, yet possesseth no true wisdom of his own.
Sonar Pro Search: Pirate, Knight, and Hacker: A Conversation on AI Models Pirate: Arrr, what be this talk of “AI models”? Sounds like some manner o’ sorcery or trickery, if ye ask me! Knight: Nay, good sir pirate. Tis not magic, but rather a marvel of modern intellect.
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| Spec | ||
|---|---|---|
| Input price | $0.96/M tokens | $3/M tokens |
| Output price | $3.2/M tokens | $15/M tokens |
| Context window | 203K tokens | 200K tokens |
| Weights | — | Closed |
| Free API (OpenRouter) | No | No |
| Released | Mar 2026 | Oct 2025 |
| At 10M a month | $9.60 | $30.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
GLM 5 Turbo is developed by Z.ai while Sonar Pro Search is developed by Perplexity. GLM 5 Turbo has a 203K token context window vs Sonar Pro Search's 200K. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.
It depends on your use case. GLM 5 Turbo and Sonar Pro Search each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 52 challenges so you can judge which fits your needs best.
GLM 5 Turbo costs $0.96/M input tokens and Sonar Pro Search costs $3/M input tokens. GLM 5 Turbo is $2.04/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of GLM 5 Turbo and Sonar Pro Search across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.